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University of Wisconsin-Madison

Data Solutions Architect

University of Wisconsin-Madison

Senior Data Solutions Architect for Wisconsin Health Data Hub developing a cloud-native data platform for biomedical research and advanced analytics. Leading data integration and governance efforts while ensuring compliance with HIPAA.

Posted 7/9/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesSeniorLead💰 $120,000 per yearWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Design and implement the architectural framework supporting WHDH’s secure, cloud-native data platform
  • Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data
  • Establish data models, metadata frameworks, and integration architectures that support advanced research workflows
  • Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis
  • Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets
  • Enable interoperable data exchange across contributing health systems and research institutions
  • Ensure compliance with HIPAA, institutional governance policies, and research data security standards
  • Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows
  • Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders

Requirements

What you’ll need
  • At least 8 years' experience designing and implementing enterprise-scale data architectures
  • Expertise with cloud-native data platforms and distributed data solutions
  • Experience designing secure data pipelines and large-scale data integration frameworks
  • Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements
  • Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred

Benefits

Comp & perks
  • generous vacation, holidays, and sick leave
  • competitive insurances and savings accounts
  • retirement benefits

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Hard Skills & Tools
Data Architecture DesignData ModelingMetadata FrameworksAI and Machine Learning AnalyticsData TransformationData IngestionData Security StandardsEnterprise-Scale SolutionsDistributed Data SolutionsResearch Data Workflows
Soft Skills
CollaborationCross-Functional Teamwork